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Suggested wavelet transform for cancelable face recognition system

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Abstract

Cancelable biometrics is a method to incorporate protection and the replacement features into biometrics to create a more secure system. The purpose of this research to protect the biometric system against imposter attack and making biometric system more secure. This framework suggests novel two presented cancellable biometric realization algorithms recognition and template protection. The first scheme is based on encrypted with Homomorphic Filtering Masking (HFM) method for cancelable face recognition. In this scheme, the HFM algorithm is applied on the face images. The resultant map is encrypted, to the second HFM utilized in the HFM is produced from the image. In the second suggested scheme, À Trous Transform (AT) algorithm is applied on the face images. Then the AT divides the image into seven sub bands. The resultant map is encrypted with HFM encoding algorithm is utilized for cancelable face recognition system. Then the second HFM utilized is produced from the image. Simulation results are evaluated by False Positive Rate (FPR), False Negative Rate (FNR), Equal Error Rate (EER), Receiver Operating Characteristic (ROC), Area under ROC (AROC) and decidability metrics. The obtained results prove that the first schem is better than the second technique EER point view. On the other hand the second technique is the best with comparing the other approaches performance metrics point view. The two techniques have succeded in cancelable face recognition system. These schemes can be utilized to advance a frequency domain procedure for making this model for biometric template protection.

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Authors and Affiliations

  1. Department of Computers and Systems Engineering, Faculty of Engineering, Minia University, Minia, Egypt

    M. I. Ashiba & Hassan A. Youness

  2. Department of Electronics and Electrical Communications, Bilbis Higher Institute of Engineering, Bilbis, Sharqia, Egypt

    H. I. Ashiba

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  1. M. I. Ashiba
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  2. Hassan A. Youness
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Ashiba, M.I., Youness, H.A. & Ashiba, H.I. Suggested wavelet transform for cancelable face recognition system. Multimed Tools Appl 81, 43701–43726 (2022). https://doi.org/10.1007/s11042-022-13070-0

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